How groups of people interact with each other on Twitter during academic conferences. - Xidao Wen; Denis Parra; Christoph Trattner (CSCW Companion, 2014)

Twitter in academic conferences: usage, networking and participation over time. - Xidao Wen; Yu-Ru Lin; Christoph Trattner; Denis Parra (HT, 2014)

Who will trade with whom?: predicting buyer-seller interactions in online trading platforms through social networks. - Christoph Trattner; Denis Parra; Lukas Eberhard; Xidao Wen (WWW (Companion Volume), 2014)

Information Seeking and Responding Networks in Physical Gatherings: A Case Study of Academic Conferences in Twitter. - Xidao Wen; Yu-Ru Lin (COSN, 2015)

PairFac: Event Analytics through Discriminant Tensor Factorization. - Xidao Wen; Yu-Ru Lin; Konstantinos Pelechrinis (CIKM, 2016)

The Roles of Information Seeking Dynamics in Sustaining the Community Participation. - Xidao Wen; Di Lu 002; Yu-Ru Lin; Claudia López (CIC, 2016)

Sensing Distress Following a Terrorist Event. - Xidao Wen; Yu-Ru Lin (SBP-BRiMS, 2016)

The Dynamics of Group Risk Perception in the US After Paris Attacks. - Wen-Ting Chung; Kai Wei; Yu-Ru Lin; Xidao Wen (SocInfo (1), 2016)

Twitter in academic events: A study of temporal usage, communication, sentimental and topical patterns in 16 Computer Science conferences. - Denis Parra; Christoph Trattner; Diego Gómez 002; Matías Hurtado; Xidao Wen; Yu-Ru Lin (Comput. Commun., 2016)

Anomaly Detection in Dynamic Networks using Multi-view Time-Series Hypersphere Learning. - Xian Teng; Yu-Ru Lin; Xidao Wen (CIKM, 2017)

Quantifying Content Polarization on Twitter. - Muheng Yan; Xidao Wen; Yu-Ru Lin; Lingjia Deng (CIC, 2017)

A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. - Xi Liu 011; Muhe Xie; Xidao Wen; Rui Chen 012; Yong Ge; Nick Duffield; Na Wang (ICDM, 2018)

Streaming Network Embedding through Local Actions. - Xi Liu 011; Ping-Chun Hsieh; Nick Duffield; Rui Chen 012; Muhe Xie; Xidao Wen (CoRR, 2018)

Event Analytics via Discriminant Tensor Factorization. - Xidao Wen; Yu-Ru Lin; Konstantinos Pelechrinis (ACM Trans. Knowl. Discov. Data, 2018)

Voila: Visual Anomaly Detection and Monitoring with Streaming Spatiotemporal Data. - Nan Cao 001; Chaoguang Lin; Qiuhan Zhu; Yu-Ru Lin; Xian Teng; Xidao Wen (IEEE Trans. Vis. Comput. Graph., 2018)

FacIt: Factorizing Tensors into Interpretable and Scrutinizable Patterns. - Xidao Wen; Konstantinos Pelechrinis; Yu-Ru Lin; Xi Liu 011; Yongsu Ahn; Nan Cao 001 (IEEE VIS (Short Papers), 2019)

Real-Time Streaming Graph Embedding Through Local Actions. - Xi Liu 011; Ping-Chun Hsieh; Nick Duffield; Rui Chen 012; Muhe Xie; Xidao Wen (WWW (Companion Volume), 2019)

Iterative Discriminant Tensor Factorization for Behavior Comparison in Massive Open Online Courses. - Xidao Wen; Yu-Ru Lin; Xi Liu 011; Peter Brusilovsky; Jordan Barria-Pineda (WWW, 2019)

Micro- and macro-level churn analysis of large-scale mobile games. - Xi Liu 011; Muhe Xie; Xidao Wen; Rui Chen 012; Yong Ge; Nick Duffield; Na Wang (Knowl. Inf. Syst., 2020)

Identifying Root-Cause Metrics for Incident Diagnosis in Online Service Systems. - Canhua Wu; Nengwen Zhao; Lixin Wang; Xiaoqin Yang; Shining Li; Ming Zhang; Xing Jin; Xidao Wen; Xiaohui Nie; Wenchi Zhang; Kaixin Sui; Dan Pei (ISSRE, 2021)

Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding. - Zhihan Li; Youjian Zhao; Jiaqi Han; Ya Su; Rui Jiao; Xidao Wen; Dan Pei (KDD, 2021)

An empirical investigation of practical log anomaly detection for online service systems. - Nengwen Zhao; Honglin Wang; Zeyan Li; Xiao Peng; Gang Wang; Zhu Pan; Yong Wu; Zhen Feng; Xidao Wen; Wenchi Zhang; Kaixin Sui; Dan Pei (ESEC/SIGSOFT FSE, 2021)

Mining Fluctuation Propagation Graph Among Time Series with Active Learning. - Mingjie Li 005; Minghua Ma; Xiaohui Nie; Kanglin Yin; Li Cao; Xidao Wen; Zhiyun Yuan; Duogang Wu; Guoying Li; Wei Liu; Xin Yang; Dan Pei (DEXA (1), 2022)

Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data. - Xuanrun Wang; Kanglin Yin; Qianyu Ouyang; Xidao Wen; Shenglin Zhang; Wenchi Zhang; Li Cao; Jiuxue Han; Xing Jin; Dan Pei (ISSRE, 2022)

Constructing Large-Scale Real-World Benchmark Datasets for AIOps. - Zeyan Li; Nengwen Zhao; Shenglin Zhang; Yongqian Sun; Pengfei Chen; Xidao Wen; Minghua Ma; Dan Pei (CoRR, 2022)

Detecting Outlier Machine Instances Through Gaussian Mixture Variational Autoencoder With One Dimensional CNN. - Ya Su; Youjian Zhao; Ming Sun; Shenglin Zhang; Xidao Wen; Yongsu Zhang; Xian Liu; Xiaozhou Liu; Junliang Tang; Wenfei Wu; Dan Pei (IEEE Trans. Computers, 2022)

AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment. - Zhaoyang Yu; Changhua Pei; Shenglin Zhang; Xidao Wen; Jianhui Li; Gaogang Xie; Dan Pei (ISSRE, 2023)

OpsEval: A Comprehensive Task-Oriented AIOps Benchmark for Large Language Models. - Yuhe Liu; Changhua Pei; Longlong Xu; Bohan Chen; Mingze Sun; Zhirui Zhang; Yongqian Sun; Shenglin Zhang; Kun Wang; Haiming Zhang 002; Jianhui Li; Gaogang Xie; et al. (CoRR, 2023)

Multivariate Time Series Anomaly Detection based on Pre-trained Models with Dual-Attention Mechanism. - Yongqian Sun; Yang Guo; Minghan Liang; Xidao Wen; Junhua Kuang; Shenglin Zhang; Hongbo Li; Kaixu Xia; Dan Pei (ISSRE (Workshops), 2024)

Guardian of the Resiliency: Detecting Erroneous Software Changes Before They Make Your Microservice System Less Fault-Resilient. - Guanglei He; Xiaohui Nie; Ruming Tang; Kun Wang; Zhaoyang Yu; Xidao Wen; Kanglin Yin; Dan Pei (IWQoS, 2024)

Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer. - Zhaoyang Yu; Changhua Pei; Xin Wang 001; Minghua Ma; Chetan Bansal; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001; Xidao Wen; Jianhui Li; Gaogang Xie; Dan Pei (KDD, 2024)

Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems. - Zhaoyang Yu; Shenglin Zhang; Mingze Sun; Yingke Li; Yankai Zhao; Xiaolei Hua; Lin Zhu; Xidao Wen; Dan Pei (WWW, 2024)

OpsEval: A Comprehensive Benchmark Suite for Evaluating Large Language Models' Capability in IT Operations Domain. - Yuhe Liu; Changhua Pei; Longlong Xu; Bohan Chen; Mingze Sun; Zhirui Zhang; Yongqian Sun; Shenglin Zhang; Kun Wang; Haiming Zhang 002; Jianhui Li; Gaogang Xie; et al. (SIGSOFT FSE Companion, 2025)

A Multimodal Intelligent Change Assessment Framework for Microservice Systems Based on Large Language Models. - Yongqian Sun; Tinghua Zheng; Xidao Wen; Weihua Kuang; Heng Liu; Shenglin Zhang; Chao Shen; Bo Wu; Dan Pei (SIGSOFT FSE Companion, 2025)

ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning. - Zhe Xie; Zeyan Li; Xiao He 008; Longlong Xu; Xidao Wen; Tieying Zhang; Jianjun Chen 001; Rui Shi; Dan Pei (Proc. VLDB Endow., 2025)

TrioXpert: An automated incident management framework for microservice system. - Yongqian Sun; Yu Luo; Xidao Wen; Yuan Yuan; Xiaohui Nie; Shenglin Zhang; Tong Liu; Xi Luo (CoRR, 2025)

Enhancing Interpretability in Software Change Management with Chain-of-Thought Reasoning. - Yongqian Sun; Weihua Kuang; Chao Shen; Xidao Wen; Tinghua Zheng; Heng Liu; Shenglin Zhang; Bo Wu; Dan Pei (CoRR, 2025)